The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-15"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "8034504 (up from 7900924 yesterday: 1.69 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "436899 (up from 433066 yesterday: 0.89 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.44



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2114026 19968 0.95 116127 395 0.34 5.49
Brazil 888271 20647 2.38 43959 627 1.45 4.95
Russia 536484 8217 1.56 7081 143 2.06 1.32
India 343091 22169 6.91 9900 705 7.67 2.89
United Kingdom 298315 973 0.33 41821 38 0.09 14.02
Spain 244109 181 0.07 27136 0 0.00 11.12
Italy 237290 301 0.13 34371 26 0.08 14.48
Peru 232992 3256 1.42 6860 172 2.57 2.94
France 194305 152 0.08 29439 29 0.10 15.15
Iran 189876 2449 1.31 8950 113 1.28 4.71
Germany 187682 164 0.09 8807 6 0.07 4.69
Turkey 179831 1592 0.89 4825 18 0.37 2.68
Chile 179436 5143 2.95 3362 39 1.17 1.87
Mexico 150264 3427 2.33 17580 439 2.56 11.70
Pakistan 148921 4443 3.08 2839 110 4.03 1.91
Saudi Arabia 132048 4507 3.53 1011 39 4.01 0.77
Canada 100763 359 0.36 8228 10 0.12 8.17
Bangladesh 90619 3099 3.54 1209 38 3.25 1.33
China 84378 43 0.05 4638 0 0.00 5.50
Qatar 80876 1274 1.60 76 3 4.11 0.09
South Africa 73533 3495 4.99 1568 88 5.95 2.13
Belgium 60100 71 0.12 9661 6 0.06 16.07
Belarus 54680 707 1.31 312 4 1.30 0.57
Colombia 53211 4315 8.82 1808 138 8.26 3.40
Sweden 52383 769 1.49 4891 17 0.35 9.34
Netherlands 49155 165 0.34 6084 6 0.10 12.38
Ecuador 47322 571 1.22 3929 33 0.85 8.30
Egypt 46289 1691 3.79 1672 97 6.16 3.61
United Arab Emirates 42636 342 0.81 291 2 0.69 0.68
Singapore 40818 214 0.53 26 0 0.00 0.06
Indonesia 39294 1017 2.66 2198 64 3.00 5.59
Portugal 37036 346 0.94 1520 3 0.20 4.10
Kuwait 36431 511 1.42 298 2 0.68 0.82
Argentina 32785 1208 3.83 854 21 2.52 2.60
Ukraine 32536 685 2.15 911 12 1.33 2.80
Switzerland 31131 14 0.04 1939 1 0.05 6.23
Poland 29788 396 1.35 1256 9 0.72 4.22
Philippines 26420 490 1.89 1098 10 0.92 4.16
Afghanistan 25527 761 3.07 478 7 1.49 1.87
Ireland 25321 18 0.07 1706 0 0.00 6.74
Oman 24524 1043 4.44 108 4 3.85 0.44
Dominican Republic 23271 309 1.35 605 13 2.20 2.60
Romania 22165 166 0.75 1427 17 1.21 6.44
Panama 21422 4 0.02 448 11 2.52 2.09
Iraq 21315 1106 5.47 652 45 7.41 3.06
Israel 19237 182 0.96 302 2 0.67 1.57
Bolivia 19073 614 3.33 632 21 3.44 3.31
Bahrain 19013 786 4.31 46 4 9.52 0.24
Japan 17439 70 0.40 929 2 0.22 5.33
Austria 17135 26 0.15 678 1 0.15 3.96
Armenia 17064 397 2.38 285 16 5.95 1.67
Nigeria 16658 573 3.56 424 4 0.95 2.55
Kazakhstan 15192 696 4.80 81 4 5.19 0.53
Denmark 12417 24 0.19 598 1 0.17 4.82
Serbia 12367 57 0.46 255 1 0.39 2.06
Korea, South 12155 34 0.28 278 1 0.36 2.29
Ghana 11964 0 0.00 54 0 0.00 0.45
Moldova 11879 139 1.18 411 5 1.23 3.46
Algeria 11031 112 1.03 777 10 1.30 7.04
Azerbaijan 10324 367 3.69 122 3 2.52 1.18
Guatemala 10272 427 4.34 399 15 3.91 3.88
Czechia 10064 40 0.40 330 1 0.30 3.28
Cameroon 9864 1183 13.63 276 64 30.19 2.80
Honduras 9178 320 3.61 322 10 3.21 3.51
Morocco 8885 92 1.05 212 0 0.00 2.39
Norway 8647 16 0.19 242 0 0.00 2.80
Malaysia 8494 41 0.49 121 0 0.00 1.42
Sudan 7435 215 2.98 468 9 1.96 6.29
Australia 7347 12 0.16 102 0 0.00 1.39
Finland 7108 4 0.06 326 0 0.00 4.59
Nepal 6211 451 7.83 19 0 0.00 0.31
Cote d’Ivoire 5439 355 6.98 46 1 2.22 0.85
Uzbekistan 5263 183 3.60 19 0 0.00 0.36
Senegal 5173 83 1.63 64 4 6.67 1.24
Tajikistan 5097 62 1.23 50 0 0.00 0.98

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 383944 620 0.16 30856 31 0.10 8.04 19736.44 1586.14 1 in 51
New Jersey 167103 222 0.13 12708 49 0.39 7.60 18813.27 1430.73 1 in 53
California 155726 3426 2.25 5114 15 0.29 3.28 3941.21 129.43 1 in 254
Illinois 133016 473 0.36 6326 18 0.29 4.76 10496.99 499.22 1 in 95
Massachusetts 105690 87 0.08 7647 23 0.30 7.24 15208.28 1100.37 1 in 66
Texas 90211 1688 1.91 2001 17 0.86 2.22 3111.17 69.01 1 in 321
Pennsylvania 83589 386 0.46 6243 28 0.45 7.47 6529.38 487.66 1 in 153
Florida 77326 1758 2.33 2938 7 0.24 3.80 3600.29 136.79 1 in 278
Michigan 66085 31 0.05 6018 2 0.03 9.11 6617.20 602.59 1 in 151
Maryland 62032 331 0.54 2947 8 0.27 4.75 10260.55 487.46 1 in 97
Georgia 58414 733 1.27 2494 43 1.75 4.27 5501.71 234.90 1 in 182
Virginia 54886 380 0.70 1552 6 0.39 2.83 6430.31 181.83 1 in 156
Louisiana 47172 553 1.19 3018 4 0.13 6.40 10147.15 649.20 1 in 99
Connecticut 45235 147 0.33 4204 3 0.07 9.29 12687.62 1179.15 1 in 79
North Carolina 45114 850 1.92 1140 8 0.71 2.53 4301.45 108.69 1 in 232
Ohio 41576 428 1.04 2575 16 0.63 6.19 3556.82 220.29 1 in 281
Indiana 40430 521 1.31 2433 11 0.45 6.02 6005.45 361.40 1 in 167
Arizona 36844 1138 3.19 1203 12 1.01 3.27 4838.41 157.98 1 in 207
Tennessee 31004 661 2.18 482 8 1.69 1.55 4537.28 70.54 1 in 220
Minnesota 30693 222 0.73 1335 6 0.45 4.35 5442.38 236.72 1 in 184
Colorado 29284 169 0.58 1605 7 0.44 5.48 5085.14 278.71 1 in 197
Alabama 26272 657 2.56 774 1 0.13 2.95 5358.15 157.86 1 in 187
Washington 26158 324 1.25 1220 3 0.25 4.66 3435.11 160.21 1 in 291
Iowa 24082 156 0.65 658 6 0.92 2.73 7632.79 208.55 1 in 131
Wisconsin 22932 174 0.76 694 2 0.29 3.03 3938.56 119.19 1 in 254
Mississippi 19799 283 1.45 895 4 0.45 4.52 6652.56 300.72 1 in 150
South Carolina 19378 583 3.10 602 2 0.33 3.11 3763.66 116.92 1 in 266
Nebraska 16851 121 0.72 220 5 2.33 1.31 8711.19 113.73 1 in 115
Missouri 16611 349 2.15 887 2 0.23 5.34 2706.51 144.52 1 in 369
Rhode Island 16093 146 0.92 851 18 2.16 5.29 15191.23 803.31 1 in 66
Utah 14608 295 2.06 143 4 2.88 0.98 4556.52 44.60 1 in 219
Arkansas 12917 416 3.33 182 3 1.68 1.41 4280.23 60.31 1 in 234
Kentucky 12647 202 1.62 505 6 1.20 3.99 2830.78 113.03 1 in 353
Kansas 11319 218 1.96 246 1 0.41 2.17 3885.27 84.44 1 in 257
Nevada 11315 114 1.02 465 2 0.43 4.11 3673.52 150.97 1 in 272
Delaware 10340 76 0.74 423 1 0.24 4.09 10618.59 434.40 1 in 94
New Mexico 9845 122 1.25 440 5 1.15 4.47 4695.18 209.84 1 in 213
District of Columbia 9799 32 0.33 515 0 0.00 5.26 13884.54 729.72 1 in 72
Oklahoma 8417 186 2.26 359 0 0.00 4.27 2127.13 90.73 1 in 470
South Dakota 5928 30 0.51 75 0 0.00 1.27 6700.89 84.78 1 in 149
Puerto Rico 5890 79 1.36 147 0 0.00 2.50 1844.26 46.03 1 in 542
Oregon 5820 443 8.24 180 7 4.05 3.09 1379.89 42.68 1 in 725
New Hampshire 5345 27 0.51 320 0 0.00 5.99 3930.98 235.34 1 in 254
Idaho 3399 0 0.00 87 0 0.00 2.56 1896.69 48.55 1 in 527
North Dakota 3101 21 0.68 74 0 0.00 2.39 4069.22 97.10 1 in 246
Maine 2810 17 0.61 101 1 1.00 3.59 2090.44 75.14 1 in 478
West Virginia 2322 32 1.40 88 0 0.00 3.79 1299.28 49.24 1 in 770
Vermont 1128 1 0.09 55 0 0.00 4.88 1807.72 88.14 1 in 553
Wyoming 1079 19 1.79 18 0 0.00 1.67 1864.33 31.10 1 in 536
Hawaii 736 8 1.10 17 0 0.00 2.31 519.82 12.01 1 in 1924
Alaska 663 3 0.45 12 0 0.00 1.81 906.30 16.40 1 in 1103
Montana 609 8 1.33 19 0 0.00 3.12 569.81 17.78 1 in 1755

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2991210 383944 12.84 153761.57
New Jersey 1116083 167103 14.97 125654.03
California 2868182 155726 5.43 72589.74
Illinois 1210473 133016 10.99 95524.79
Massachusetts 717231 105690 14.74 103206.09
Texas 1314761 90211 6.86 45343.03
Pennsylvania 593030 83589 14.10 46323.27
Florida 1430184 77326 5.41 66589.14
Michigan 824037 66085 8.02 82512.15
Maryland 421108 62032 14.73 69654.36
Georgia 630496 58414 9.26 59383.15
Virginia 478999 54886 11.46 56118.32
Louisiana 518725 47172 9.09 111582.70
Connecticut 356377 45235 12.69 99957.45
North Carolina 638479 45114 7.07 60876.61
Ohio 557168 41576 7.46 47665.60
Indiana 355829 40430 11.36 52854.64
Arizona 345257 36844 10.67 45339.70
Tennessee 629978 31004 4.92 92194.05
Minnesota 422922 30693 7.26 74991.06
Colorado 249085 29284 11.76 43253.42
Alabama 302674 26272 8.68 61730.08
Washington 462602 26158 5.65 60749.64
Iowa 227388 24082 10.59 72070.67
Wisconsin 426379 22932 5.38 73230.37
Mississippi 230503 19799 8.59 77450.09
South Carolina 255557 19378 7.58 49635.11
Nebraska 137755 16851 12.23 71213.00
Missouri 279941 16611 5.93 45612.10
Rhode Island 200445 16093 8.03 189213.12
Utah 272938 14608 5.35 85134.61
Arkansas 204138 12917 6.33 67644.08
Kentucky 295851 12647 4.27 66220.38
Kansas 136962 11319 8.26 47012.44
Nevada 216434 11315 5.23 70267.22
Delaware 84686 10340 12.21 86967.68
New Mexico 263665 9845 3.73 125744.64
District of Columbia 65846 9799 14.88 93299.46
Oklahoma 251004 8417 3.35 63433.37
South Dakota 66395 5928 8.93 75051.52
Puerto Rico 5890 5890 100.00 1844.26
Oregon 173882 5820 3.35 41226.37
New Hampshire 98873 5345 5.41 72716.19
Idaho 62980 3399 5.40 35143.81
North Dakota 87776 3101 3.53 115182.23
Maine 70971 2810 3.96 52797.48
West Virginia 131953 2322 1.76 73834.44
Vermont 52557 1128 2.15 84227.45
Wyoming 32606 1079 3.31 56337.78
Hawaii 61474 736 1.20 43417.77
Alaska 74437 663 0.89 101753.14
Montana 60937 609 1.00 57015.58

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 110744 2786 2.58 56049 50.61 50554 4128 178 4.51 3.73
Tamil Nadu 46504 1843 4.13 25344 54.50 20681 479 44 10.11 1.03
Delhi 42829 1647 4.00 16427 38.35 25002 1400 73 5.50 3.27
Gujarat 24104 514 2.18 16672 69.17 5926 1506 28 1.89 6.25
Uttar Pradesh 14091 476 3.50 8610 61.10 5064 417 18 4.51 2.96
Rajasthan 12981 287 2.26 9785 75.38 2895 301 9 3.08 2.32
West Bengal 11494 407 3.67 5494 47.80 5515 485 10 2.11 4.22
Madhya Pradesh 10935 133 1.23 7903 72.27 2567 465 6 1.31 4.25
Haryana 7722 514 7.13 3565 46.17 4057 100 12 13.64 1.30
State Unassigned 7684 712 10.21 0 0.00 7684 0 0 NaN 0.00
Karnataka 7213 213 3.04 4140 57.40 2981 89 2 2.30 1.23
Bihar 6662 187 2.89 4226 63.43 2398 38 2 5.56 0.57
Andhra Pradesh 6456 304 4.94 3385 52.43 2985 86 2 2.38 1.33
Jammu and Kashmir 5220 179 3.55 2604 49.89 2554 62 3 5.08 1.19
Telangana 5193 219 4.40 2766 53.26 2240 187 2 1.08 3.60
Assam 4310 191 4.64 2206 51.18 2093 8 0 0.00 0.19
Odisha 4163 254 6.50 2854 68.56 1295 14 0 0.00 0.34
Punjab 3267 127 4.04 2443 74.78 753 71 4 5.97 2.17
Kerala 2544 82 3.33 1174 46.15 1348 21 1 5.00 0.83
Uttarakhand 1845 26 1.43 1189 64.44 620 24 0 0.00 1.30
Jharkhand 1793 45 2.57 1000 55.77 784 9 1 12.50 0.50
Chhattisgarh 1715 53 3.19 835 48.69 871 9 3 50.00 0.52
Tripura 1089 10 0.93 433 39.76 655 1 0 0.00 0.09
Goa 592 28 4.96 85 14.36 507 0 0 NaN 0.00
Himachal Pradesh 556 38 7.34 342 61.51 196 7 0 0.00 1.26
Ladakh 555 6 1.09 82 14.77 472 1 0 0.00 0.18
Manipur 490 32 6.99 151 30.82 339 0 0 NaN 0.00
Chandigarh 357 4 1.13 301 84.31 50 6 0 0.00 1.68
Puducherry 202 8 4.12 95 47.03 103 4 0 0.00 1.98
Nagaland 179 2 1.13 92 51.40 87 0 0 NaN 0.00
Mizoram 121 4 3.42 1 0.83 120 0 0 NaN 0.00
Arunachal Pradesh 95 4 4.40 7 7.37 88 0 0 NaN 0.00
Sikkim 68 0 0.00 5 7.35 63 0 0 NaN 0.00
Andaman and Nicobar Islands 44 3 7.32 33 75.00 11 0 0 NaN 0.00
Meghalaya 44 0 0.00 26 59.09 17 1 0 0.00 2.27
Dadra and Nagar Haveli and Daman and Diu 39 3 8.33 2 5.13 37 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 899278 91917 259 0.28 10.22 2018 94 15976 16457 17.90
Piemonte 369294 31061 2 0.01 8.41 517 28 2604 4012 12.92
Emilia-Romagna 410984 28084 11 0.04 6.83 188 13 1500 4207 14.98
Veneto 817064 19220 1 0.01 2.35 38 1 755 1978 10.29
Toscana 293683 10188 8 0.08 3.47 31 16 489 1088 10.68
Liguria 127913 9887 8 0.08 7.73 87 2 246 1525 15.42
Lazio 299590 7958 3 0.04 2.66 304 37 1292 811 10.19
Marche 121620 6762 4 0.06 5.56 18 0 617 993 14.69
Campania 241380 4613 4 0.09 1.91 58 2 289 430 9.32
Puglia 148627 4516 1 0.02 3.04 56 2 410 534 11.82
P.A. Trento 104306 4448 1 0.02 4.26 5 0 66 465 10.45
Sicilia 180327 3458 1 0.03 1.92 30 4 805 280 8.10
Friuli Venezia Giulia 161945 3296 0 0.00 2.04 15 1 99 343 10.41
Abruzzo 91700 3279 0 0.00 3.58 71 3 486 456 13.91
P.A. Bolzano 76345 2611 0 0.00 3.42 8 1 94 292 11.18
Umbria 82235 1436 0 0.00 1.75 9 1 18 77 5.36
Sardegna 69134 1363 0 0.00 1.97 12 0 33 132 9.68
Valle d’Aosta 16650 1191 0 0.00 7.15 7 0 12 144 12.09
Calabria 82392 1162 0 0.00 1.41 17 1 37 97 8.35
Molise 19125 439 0 0.00 2.30 0 0 70 23 5.24
Basilicata 35233 401 0 0.00 1.14 0 1 11 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 54054 102 0.19 5242 20 0.38 9.70 6331.23 613.98 1 in 158
Ontario 33986 180 0.53 2579 -11 -0.42 7.59 2310.11 175.30 1 in 433
Alberta 7453 20 0.27 151 1 0.67 2.03 1688.82 34.22 1 in 592
British Columbia 2745 36 1.33 168 0 0.00 6.12 537.09 32.87 1 in 1862
Nova Scotia 1061 0 0.00 62 0 0.00 5.84 1085.47 63.43 1 in 921
Saskatchewan 683 18 2.71 13 0 0.00 1.90 578.00 11.00 1 in 1730
Manitoba 304 0 0.00 7 0 0.00 2.30 220.69 5.08 1 in 4531
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 160 3 1.91 2 0 0.00 1.25 205.13 2.56 1 in 4875
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1628 8 0.49
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1112 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Beijing 700 9 1.29
Shanghai 695 7 1.01
Jiangsu 653 0 0.00
Sichuan 588 3 0.51
Chongqing 582 6 1.03
Fujian 362 1 0.28
Hebei 335 6 1.79
Shaanxi 313 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 196 3 1.53
Yunnan 185 2 1.08
Hainan 171 6 3.51
Jilin 155 2 1.29
Liaoning 152 2 1.32
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6460.96 354.91 1 in 155
Brazil 4244.01 210.03 1 in 236
Russia 3712.69 49.00 1 in 269
India 256.23 7.39 1 in 3903
United Kingdom 4489.99 629.46 1 in 223
Spain 5231.65 581.57 1 in 191
Italy 3923.45 568.30 1 in 255
Peru 7242.52 213.24 1 in 138
France 2900.51 439.45 1 in 345
Iran 2339.53 110.28 1 in 427
Germany 2266.96 106.38 1 in 441
Turkey 2225.36 59.71 1 in 449
Chile 9941.05 186.26 1 in 101
Mexico 1163.03 136.07 1 in 860
Pakistan 755.94 14.41 1 in 1323
Saudi Arabia 4008.74 30.69 1 in 249
Canada 2680.58 218.89 1 in 373
Bangladesh NA NA 1 in NA
China 60.88 3.35 1 in 16426
Qatar 30646.46 28.80 1 in 33

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 210259 22124 10.52
Cook Illinois 85184 4206 4.94
Los Angeles California 73832 2926 3.96
Nassau New York 41240 2167 5.25
Suffolk New York 40692 1955 4.80
Westchester New York 34327 1405 4.09
Philadelphia Pennsylvania 24475 1509 6.17
Middlesex Massachusetts 23227 1763 7.59
Miami-Dade Florida 22197 826 3.72
Wayne Michigan 21793 2670 12.25
Maricopa Arizona 19372 557 2.88
Suffolk Massachusetts 19334 951 4.92
Hudson New Jersey 19195 1256 6.54
Bergen New Jersey 18848 1664 8.83
Essex New Jersey 18375 1751 9.53
Prince George’s Maryland 17400 640 3.68
Harris Texas 17282 284 1.64
Passaic New Jersey 16649 1001 6.01
Middlesex New Jersey 16458 1083 6.58
Fairfield Connecticut 16338 1347 8.24
Union New Jersey 16308 1128 6.92
Essex Massachusetts 15627 1051 6.73
Dallas Texas 14537 285 1.96
Montgomery Maryland 13657 694 5.08
Rockland New York 13441 661 4.92
Fairfax Virginia 13092 423 3.23
Providence Rhode Island 12363 0 0.00
New Haven Connecticut 12055 1045 8.67
Worcester Massachusetts 11991 871 7.26
Oakland Michigan 11313 1067 9.43
Riverside California 11285 384 3.40
Hartford Connecticut 11231 1328 11.82
Marion Indiana 10788 651 6.03
Orange New York 10573 473 4.47
Hennepin Minnesota 10281 720 7.00
District of Columbia District of Columbia 9799 515 5.26
San Diego California 9610 320 3.33
Milwaukee Wisconsin 9588 350 3.65
Ocean New Jersey 9258 820 8.86
Lake Illinois 9109 375 4.12
Broward Florida 9086 358 3.94
Palm Beach Florida 9015 429 4.76
Norfolk Massachusetts 8872 890 10.03
Clark Nevada 8815 379 4.30
King Washington 8785 592 6.74
Monmouth New Jersey 8761 678 7.74
Orange California 8759 221 2.52
Plymouth Massachusetts 8512 626 7.35
DuPage Illinois 8465 431 5.09
Jefferson Louisiana 8416 467 5.55

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc